Evolução da Indústria 4.0 para a Indústria 5.0

Avaliação da estrutura concetual e perspectivas de um campo emergente

Autores/as

Palabras clave:

Inteligência competitiva, Indústria inteligente, Fábrica Inteligente, Manufatura Avançada, Competitividade regional

Resumen

O mundo está passando por um processo de transformação sem precedentes provocado pela Quarta Revolução Industrial, também conhecida como Indústria 4.0, e pela pandemia causada principalmente pela COVID-19. A Indústria 4.0 procura transcender dos processos físicos de produção ao ambiente digital, fortalecendo a ligação entre os agentes de produção. Entretanto, a pandemia evidenciou a necessidade de transformar tanto a indústria quanto a forma como ela fomenta o desenvolvimento global. A Quinta Revolução Industrial ou Indústria 5.0 surge neste ponto e estabelece um novo paradigma de desenvolvimento e procura fomentar uma atividade industrial que transcenda os objetivos técnicos ou econômicos, como produtividade e eficiência. A indústria 5.0 fomenta propósitos essenciais para o futuro, que seu predecessor não afirmava claramente. Entretanto, por ser um conceito novo baseado em outro relativamente novo, é complicado identificar os componentes que o distinguem e impulsionam seu desenvolvimento, assim como os agentes mais relevantes em sua consolidação. Neste sentido, ao utilizar técnicas e ferramentas bibliométricas, esta pesquisa analisa a estrutura intelectual da Indústria 5.0, de acordo com sua produtividade, impacto e conteúdo de acordo com a literatura disponível no Scopus. Para isso, recuperamos e analisamos 343 publicações de 2018 a 2022, utilizando SciMAT, o que nos permitiu estabelecer um quadro detalhado de referência sobre as principais linhas de pesquisa, desenvolvimento e inovação relacionadas à Indústria 5.0 e os agentes que a vitalizam.

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Biografía del autor/a

Nadia Karina Gamboa-Rosales, Universidad Autónoma de Zacatecas

CONAHCYT, Unidad Académica de Ingeniería Eléctrica, Centro de Investigación e Innovación Automotriz

José Ricardo López-Robles, Universidad Autónoma de Zacatecas

Unidad Académica de Contaduría y Administración

Citas

Acioli, C.; Scavarda, A.; Reis, A. Applying Industry 4.0 technologies in the COVID–19 sustainable chains. International Journal of Productivity and Performance Management, v. 70, n. 5, p. 988-1016, 2021. Doi: https:// doi.org/10.1108/IJPPM-03-2020-0137.

Akundi, A. et al. State of Industry 5.0: Analysis and Identification of Current Research Trends. Applied System Innovation, v. 5, n. 1, p. 27, 2022. Doi: https://doi.org/10.3390/asi5010027.

Alexa, L.; Pîslaru, M.; Avasilcăi, S. From Industry 4.0 to Industry 5.0: an overview of European Union Enterprises. In: Draghici, A.; Ivascu, L. (ed.). Sustainability and Innovation in Manufacturing Enterprises. Singapore: Springer, 2022. p. 221-231. (Advances in Sustainability Science and Technology). Doi: https://doi.org/10.1007/978-981- 16-7365-8_8.

Bag, S. et al. Industry 4.0 and supply chain sustainability: framework and future research directions. Benchmarking: an International Journal, v. 28, n. 5, p. 1410-1450, 2018. Doi: https://doi.org/10.1108/BIJ-03-2018- 0056.

Cillo, V. et al. Rethinking companies’ culture through knowledge management lens during Industry 5.0 transition. Journal of Knowledge Management, v. 26 n. 10, p. 2485-2498, 2021. Doi: https://doi.org/10.1108/ JKM-09-2021-0718

Cobo, M. J. SciMat: herramienta software para el análisis de la evolución del conocimiento científico. Propuesta de una metodología de evaluación. Granada: Universidad de Granada, 2012. Doi: https://doi.org/http://hdl. handle.net/10481/20201

Cobo, M. J. et al. An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the fuzzy sets theory field. Journal of Informetrics, v. 5, n. 1, p. 146-166, 2011. Doi: https:// doi.org/10.1016/j.joi.2010.10.002.

Furstenau, L. B. et al. Link between sustainability and industry 4.0: trends, challenges and new perspectives. Ieee Access, v. 8, p. 140079-140096, 2020. Doi: https://doi.org/10.1109/ACCESS.2020.3012812.

Gamboa-Rosales, N. K. et al. Visualizing the intellectual structure and evolution of intelligent transportation systems: a systematic analysis of research themes and trends. Sustainability, v. 12, n. 21, p. 8759, 2020. Doi: https://doi.org/10.3390/su12218759.

Ghobakhloo, M. Industry 4.0, digitization, and opportunities for sustainability. Journal of Cleaner Production, v. 252, p. 119869, 2020. Doi: https://doi.org/10.1016/j.jclepro.2019.119869.

Ghobakhloo, M. et al. Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values. Sustainable Production and Consumption, v. 33, p. 716-737, 2022. Doi: https://doi.org/10.1016/j.spc.2022.08.003.

Gontijo, M. C. A.; Hamanaka, R. Y.; Araujo, R. F. Research data management: a bibliometric and altmetric study based on Dimensions. Iberoamerican Journal of Science Measurement and Communication, v. 1, n. 3, p. 1-19, 2021. Doi: https://doi.org/10.47909/ijsmc.120.

Gutiérrez-Salcedo, M. et al. Some bibliometric procedures for analyzing and evaluating research fields. Applied Intelligence, v. 48, n. 5, p. 1275-1287, 2018. Doi: https://doi.org/10.1007/s10489-017-1105-y.

Hahn, G. J. Industry 4.0: a supply chain innovation perspective. International Journal of Production Research, v. 58, n. 5, p. 1425-1441, 2020. Doi: https://doi.org/10.1080/00207543.2019.1641642.

Herrera-Viedma, E. et al. Global trends in coronavirus research at the time of Covid-19: A general bibliometric approach and content analysis using SciMAT. El Profesional de la Información, v. 29, n. 3, e290322, 2020. Doi: https://doi.org/10.3145/epi.2020.may.22.

Huang, S. et al. Industry 5.0 and Society 5.0: Comparison, complementation and co-evolution. Journal of Manufacturing Systems, v. 64, p. 424-428, 2022. Doi: https://doi.org/10.1016/j.jmsy.2022.07.010.

López-Robles, J. R. et al. 30 years of intelligence models in management and business: A bibliometric review. International Journal of Information Management, v. 48, p. 22-38, 2019. Doi: https://doi.org/10.1016/j. ijinfomgt.2019.01.013.

Machado, C. G. et al. Industry 4.0 readiness in manufacturing companies: challenges and enablers towards increased digitalization. Procedia CIRP, v. 81, p. 1113-1118, 2019. Doi: https://doi.org/10.1016/j.procir.2019.03.262.

Madhavan, M. et al. The Precipitative effects of pandemic on open innovation of SMEs: A Scientometrics and Systematic Review of Industry 4.0 and Industry 5.0. Journal of Open Innovation: Technology, Market, and Complexity, v. 8, n. 3, p. 152, 2022. Doi: https://doi.org/10.3390/joitmc8030152.

Madsen, D. Ø.; Berg, T. An exploratory bibliometric analysis of the birth and emergence of industry 5.0. Applied System Innovation, v. 4, n. 4, p. 87, 2021. Doi: https://doi.org/10.3390/asi4040087.

Masood, T.; Sonntag, P. Industry 4.0: Adoption challenges and benefits for SMEs. Computers in Industry, v. 121, p. 103261, 2020. Doi: https://doi.org/10.1016/j.compind.2020.103261.

Moed, H. F. et al. A comparative study of bibliometric past performance analysis and peer judgement. Scientometrics, v. 8, n. 3-4, p. 149-159, 1985. Doi: https://doi.org/10.1007/BF02016933.

Moed, H. F.; De Bruin, R.; Van Leeuwen, T. H. New bibliometric tools for the assessment of national research performance: Database description, overview of indicators and first applications. Scientometrics, v. 33, n. 3, p. 381-422, 1995. Doi: https://doi.org/10.1007/bf02017338.

Papadopoulos, T. et al. Towards the next generation of manufacturing: implications of big data and digitalization in the context of industry 4.0. Production Planning & Control, v. 33, n. 2-3, p. 101-104, 2022. Doi: https://doi.org/10.1080/09537287.2020.1810767.

Reymond, D. Patents information for humanities research: Could there be something? Iberoamerican Journal of Science Measurement and Communication, v. 1, n. 1, p. 6, 2021. Doi: https://doi.org/10.47909/ijsmc.02.

Rinker, M. et al. Industry 4.0 digital transformation conference: Has the pandemic accelerated digital transformation? Journal of Advanced Manufacturing and Processing, v. 3, n. 1, 2021. Doi: https://doi. org/10.1002%2Famp2.10075.

Saniuk, S.; Grabowska, S.; Straka, M. Identification of Social and Economic Expectations: Contextual Reasons for the Transformation Process of Industry 4.0 into the Industry 5.0 Concept. Sustainability, v. 14, n. 3, p. 1391, 2022. Doi: https://doi.org/10.3390/su14031391.

Silva Júnior, E. M.; Dutra, M. L. A roadmap toward the automatic composition of systematic literature reviews. Iberoamerican Journal of Science Measurement and Communication, v. 1, n. 2, p. 1-22, 2021. Doi: https://doi. org/10.47909/ijsmc.52.

Sott, M. K. et al. Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends. Business Process Management Journal, v. 27, n. 5, p. 1391-1417, 2021. Doi: https://doi.org/10.1108/BPMJ-05-2020-0181.

Zizic, M. C. et al. From Industry 4.0 towards Industry 5.0: a review and analysis of paradigm shift for the people, organization and technology. Energies, v. 15, n. 14, p. 5221, 2022. Doi: https://doi.org/10.3390/en15145221.

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Publicado

2023-11-08

Cómo citar

Gamboa-Rosales, N. K., & López-Robles, J. R. (2023). Evolução da Indústria 4.0 para a Indústria 5.0: Avaliação da estrutura concetual e perspectivas de um campo emergente. Transinformação, 35. Recuperado a partir de https://periodicos.puc-campinas.edu.br/transinfo/article/view/7319

Número

Sección

Data and Information in Online Environments